Optimizing Wireless Connectivity: A Deep Neural Network-Based Handover Approach for Hybrid LiFi and WiFi Networks.

A Hybrid LiFi and WiFi network (HLWNet) integrates the rapid data transmission capabilities of Light Fidelity (LiFi) with the extensive connectivity provided by Wireless Fidelity (WiFi), resulting in significant benefits for wireless data transmissions in the designated area. However, the challenge of decision-making during the handover process in HLWNet is made more complex due to the specific characteristics of electromagnetic signals' line-of-sight transmission, resulting in a greater level of intricacy compared to previous heterogeneous networks. This research work addresses the problem of handover decisions in the Hybrid LiFi and WiFi networks and treats it as a binary classification problem. Consequently, it proposes a handover method based on a deep neural network (DNN). The comprehensive handover scheme incorporates two sets of neural networks (ANN and DNN) that utilize input factors such as channel quality and the mobility of users to enable informed decisions during handovers. Following training with labeled datasets, the neural-network-based handover approach achieves an accuracy rate exceeding 95%. A comparative analysis of the proposed scheme against the benchmark reveals that the proposed method considerably increases user throughput by approximately 18.58% to 38.5% while reducing the handover rate by approximately 55.21% to 67.15% compared to the benchmark artificial neural network (ANN); moreover, the proposed method demonstrates robustness in the face of variations in user mobility and channel conditions.

Efficient Energy Management of IoT-Enabled Smart Homes Under Price-Based Demand Response Program in Smart Grid.

There will be a dearth of electrical energy in the prospective world due to exponential increase in electrical energy demand of rapidly growing world population. With the development of internet-of-things (IoT), more smart devices will be integrated into residential buildings in smart cities that actively participate in electricity market via demand response (DR) programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, an energy management strategy using price-based DR program is developed for IoT-enabled residential buildings. We propose a wind-driven bacterial foraging algorithm (WBFA), which is a hybrid of wind-driven optimization (WDO) and bacterial foraging optimization (BFO) algorithms. Subsequently, we devised a strategy based on our proposed WBFA to systematically manage the power usage of IoT-enabled residential building smart appliances by scheduling to alleviate peak-to-average ratio (PAR), minimize cost of electricity, and maximize user comfort (UC). This increases effective energy utilization, which in turn increases the sustainability of IoT-enabled residential buildings in smart cities. The WBFA-based strategy automatically responds to price-based DR programs to combat the major problem of the DR programs, which is the limitation of consumer's knowledge to respond upon receiving DR signals. To endorse productiveness and effectiveness of the proposed WBFA-based strategy, substantial simulations are carried out. Furthermore, the proposed WBFA-based strategy is compared with benchmark strategies including binary particle swarm optimization (BPSO) algorithm, genetic algorithm (GA), genetic wind driven optimization (GWDO) algorithm, and genetic binary particle swarm optimization (GBPSO) algorithm in terms of energy consumption, cost of electricity, PAR, and UC. Simulation results show that the proposed WBFA-based strategy outperforms the benchmark strategies in terms of performance metrics.

Comparative Evaluation of Polyphenol Contents and Antioxidant Activities between Ethanol Extracts of Vitex negundo and Vitex trifolia L. Leaves by Different Methods.

The in vitro antioxidant potential assay between ethanolic extracts of two species from the genus Vitex (Vitex negundo L. and Vitex trifolia L.) belonging to the Lamiaceae family were evaluated. The antioxidant properties of different extracts prepared from both plant species were evaluated by different methods. DPPH scavenging, nitric oxide scavenging, and ß-carotene-linoleic acid and ferrous ion chelation methods were applied. The antioxidant activities of these two species were compared to standard antioxidants such as butylated hydroxytoluene (BHT), ascorbic acid, and Ethylene diamine tetra acetic acid (EDTA). Both species of Vitex showed significant antioxidant activity in all of the tested methods. As compared to V. trifolia L. (60.87-89.99%; 40.0-226.7 µg/mL), V. negundo has been found to hold higher antioxidant activity (62.6-94.22%; IC50 = 23.5-208.3 µg/mL) in all assays. In accordance with antioxidant activity, total polyphenol contents in V. negundo possessed greater phenolic (89.71 mg GAE/g dry weight of extract) and flavonoid content (63.11 mg QE/g dry weight of extract) as compared to that of V. trifolia (77.20 mg GAE/g and 57.41 mg QE/g dry weight of extract respectively). Our study revealed the significant correlation between the antioxidant activity and total phenolic and flavonoid contents of both plant species.

Urological complications in ureteric stenting live related renal transplantation.

OBJECTIVE: To determine the frequency and types of post-transplant urological complications in live-related kidney transplantation with reference to the impact of JJ ureteric stent. STUDY DESIGN: Case series. PLACE AND DURATION OF STUDY: Shaikh Zayed Postgraduate Medical Institute and National Institute of Kidney Diseases, Lahore, from June 2006 to July 2010. METHODOLOGY: Consecutive renal transplantations, donors being alive were relatives, reterospectively reviewed. All patients underwent extravesical ureteroneocystostomy and all, except one were stented. From the retrieved clinical records, the frequency and types of various minor and major urological complications and their management was studied. All the complications were managed according to standard guidelines. RESULTS: The overall incidence of urological complications among transplant recipients was 11.9%, observed in 12 patients. The complications were urinary leakage in 2 (2%) and clot retention, ureterovesical junction obstruction and wound infection in one (1%) patient each. Urinary tract infection was observed in 7 (6.9%) patients. CONCLUSION: Urinary tract infection was the most common urologic complication in the studied cases. The technique of stented extravesical ureteronecystostomy had a low rate of urological complications in this series. Other factors which may reduce the urological complications are preserving adventitia, fat and blood supply of ureter by delicate dissection during donor nephrectomy and prevent kinking and twisting of ureter are important factors in reducing the post-transplant urological complications.

Predictors of limb loss despite a patent endovascular-treated arterial segment.

OBJECTIVE: The goal of this study was to assess the frequency and predictors of major amputation with patent endovascular-treated arterial segments (PETAS) in patients with critical limb ischemia. METHODS: The study included 358 consecutive patients (412 limbs) who underwent endovascular (236 limbs) or open (176 limbs) revascularizations for critical limb ischemia from June 2001 through May 2007. Patients with limb loss despite PETAS were compared with the rest of the endovascular-treated group (EV-other, n = 212) and with those who underwent amputations with patent bypasses (APB). RESULTS: The EV group underwent 30 amputations (24 in PETAS, 6 in EV-other), and 37 occurred in the open group (14 in APB, 23 in open-other). Amputations occurring despite a patent revascularized segment constituted 38% of limb loss in open and 80% in EV-treated patients (P = .001). Limb loss occurred earlier in the PETAS group (58% vs 30%